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Wenchen Fan 3ced39df32 [SPARK-17432][SQL] PreprocessDDL should respect case sensitivity when checking duplicated columns 
## What changes were proposed in this pull request?

In `PreprocessDDL` we will check if table columns are duplicated. However, this checking ignores case sensitivity config(it's always case-sensitive) and lead to different result between `HiveExternalCatalog` and `InMemoryCatalog`. `HiveExternalCatalog` will throw exception because hive metastore is always case-nonsensitive, and `InMemoryCatalog` is fine.

This PR fixes it.

## How was this patch tested?

a new test in DDLSuite

Author: Wenchen Fan <wenchen@databricks.com>

Closes #14994 from cloud-fan/check-dup.
2016-09-08 19:41:49 +08:00
..
catalyst [MINOR][SQL] Fixing the typo in unit test 2016-09-07 12:41:03 +01:00
core [SPARK-17432][SQL] PreprocessDDL should respect case sensitivity when checking duplicated columns 2016-09-08 19:41:49 +08:00
hive [SPARK-17052][SQL] Remove Duplicate Test Cases auto_join from HiveCompatibilitySuite.scala 2016-09-07 14:03:14 -07:00
hive-thriftserver [SPARK-17190][SQL] Removal of HiveSharedState 2016-08-25 12:50:03 +08:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -07:00

README.md

Spark SQL

This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.

Spark SQL is broken up into four subprojects:

  • Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
  • Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
  • Hive Support (sql/hive) - Includes an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows users to run queries that include Hive UDFs, UDAFs, and UDTFs.
  • HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.